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MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos

CVPR 2023 · Video › Video segmentation and tracking · approach: Video restoration with temporal priors · 69 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Combine semantic, distortion, and motion features (ablation)MD-VQA · LIVE-WC, YT-UGC+, and TaoLiveSRCC: LIVE-WC: 0.925 -> 0.931; YT-UGC+: 0.805 -> 0.822; TaoLive: 0.940 -> 0.942Helped
Add distortion features to semantic features (ablation)MD-VQA · LIVE-WC, YT-UGC+, and TaoLiveSRCC: LIVE-WC: 0.911 -> 0.925; YT-UGC+: 0.785 -> 0.805; TaoLive: 0.931 -> 0.935Helped
Add motion features to semantic features (ablation)MD-VQA · LIVE-WC, YT-UGC+, and TaoLiveSRCC: LIVE-WC: 0.911 -> 0.921; YT-UGC+: 0.785 -> 0.792; TaoLive: 0.931 -> 0.940Helped
Add semantic features to distortion and motion features (ablation)MD-VQA · LIVE-WC, YT-UGC+, and TaoLiveSRCC: LIVE-WC: 0.857 -> 0.931; YT-UGC+: 0.573 -> 0.822; TaoLive: 0.925 -> 0.942Helped
Add adjacent-frame absolute feature error (ablation)MD-VQA · LIVE-WC, YT-UGC+, and TaoLiveSRCC: LIVE-WC: 0.912 -> 0.931; YT-UGC+: 0.814 -> 0.822; TaoLive: 0.925 -> 0.942Helped
Use the feature fusion module instead of simple concatenation (ablation)MD-VQA · LIVE-WC, YT-UGC+, and TaoLiveSRCC: LIVE-WC: 0.913 -> 0.931; YT-UGC+: 0.811 -> 0.822; TaoLive: 0.921 -> 0.942Helped
Use MD-VQA rather than SimpleVQAVQA models · KoNViD-1kSRCC: 0.856 -> 0.851Hurt
Use MD-VQA rather than SimpleVQAVQA models · LIVE-VQCPLCC: 0.815 -> 0.839Helped

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